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AI News Saturday, February 10

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AI News TLDR / Table of Contents

  • 30 Amazing Machine Learning Projects for the Past Year (v.2018)
    • For the past year, we’ve compared nearly 8,800 open source Machine Learning libraries, datasets and apps to pick Top 30 (0.3% chance).
    • open source Machine, source Machine Learning, extremely competitive list, ,
  • Artificial Intelligence (AI) application by exploiting problem structure in combinatorial landscapes
    • We proposed an artificial intelligence (AI) application by exploiting search cues in combinatorial space.[bibtex file=own_pub.bib key=xie2016exploiting]We present a method using AI techniques to solve a case of pure mathematics applications for finding narrow admissible tuples. The original pr
    • combinatorial optimization problem, narrow admissible tuples, pure mathematics applications, intelligent search strategies, local search structure
  • YouTube
    • AI technologies are transforming the banking industry, representing one of the most exciting developments within the finance arena at this time. English For …
    • Duration, ngAtlanta, views, Angular vs React.js, Smart Angular Elements
  • Why Europe should lead the way on AI and robotics
    • To prepare for the profound changes to lives and livelihoods that lie ahead, the European Union should start establishing rules to protect all Europeans.
    • European Parliament, AI, physicist Stephen Hawking, Yuval Noah Harari, American television adaptation

[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”30-Amazing-Machine-Learning-Projects-for-the-Past-Year-v-2018-“][vc_column width=”1/2”][vc_separator][vc_column_text]

Score: 122.07238621186427
URL: https://medium.mybridge.co/30-amazing-machine-learning-projects-for-the-past-year-v-2018-b853b8621ac7?gi=a2524d170345
Tweeted At: Fri Feb 09 21:45:06 +0000 2018
Publish Date: 2018-01-05T07:28:39.105000+00:00
Author: Mybridge

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30 Amazing Machine Learning Projects for the Past Year (v.2018)

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  • 30 Amazing Machine Learning Projects for the Past Year (v.2018)For the past year, we’ve compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance).
  • This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017.
  • To give you an idea about the quality, the average number of Github stars is 3,558.
  • 3,707 ⭐️): Here (0 duplicate)Learn Machine Learning from Top Articles for the Past Year: Here (0 duplicate)Open source projects can be useful for data scientists.
  • Give a plenty of time to play around with Machine Learning projects you may have missed for the past year.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: open source Machine, source Machine Learning, extremely competitive list, , [/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]30 Amazing Machine Learning Projects for the Past Year (v.2018)[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Artificial-Intelligence-AI-application-by-exploiting-problem-structure-in-combinatorial-landscapes”][vc_column width=”1/2″][vc_separator][vc_column_text]

Score: 67.85224569320896
URL: http://www.wiomax.com/presented-our-work-on-combinatorial-optimization-at-ijcai16/
Tweeted At: Mon Apr 03 02:28:44 +0000 2017
Publish Date: 2016-07-12T13:52:10+00:00
Author: admin

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Artificial Intelligence (AI) application by exploiting problem structure in combinatorial landscapes

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  • We proposed an artificial intelligence (AI) application by exploiting search cues in combinatorial space.
  • We present a method using AI techniques to solve a case of pure mathematics applications for finding narrow admissible tuples.
  • The original problem is formulated into a combinatorial optimization problem.
  • In particular, we show how to exploit the local search structure to formulate the problem landscape for dramatic reductions in search space and for non-trivial elimination in search barriers, and then to realize intelligent search strategies for effectively escaping from local minima.
  • This research sheds light on exploiting the local problem structure for an efficient search in combinatorial landscapes as an application of AI to a new problem domain.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: combinatorial optimization problem, narrow admissible tuples, pure mathematics applications, intelligent search strategies, local search structure[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Artificial Intelligence (AI) application by exploiting problem structure in combinatorial landscapes – WIOMAX[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”YouTube”][vc_column width=”1/2″][vc_separator][vc_column_text]

Score: 950.039230718276
URL: https://www.youtube.com/watch?v=ExKfel9x4uE
Tweeted At: Sat Feb 10 07:37:24 +0000 2018
Publish Date:
Author:

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YouTube

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    [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: Duration, ngAtlanta, views, Angular vs React.js, Smart Angular Elements[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

    [/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Artificial intelligence: the new frontier[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Why-Europe-should-lead-the-way-on-AI-and-robotics”][vc_column width=”1/2″][vc_separator][vc_column_text]

    Score: 350.0395888226009
    URL: https://www.weforum.org/agenda/2017/12/why-europe-should-lead-the-way-on-ai-and-robotics
    Tweeted At: Sat Feb 10 13:30:19 +0000 2018
    Publish Date:
    Author: Derek O’Halloran

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    Why Europe should lead the way on AI and robotics

    [/vc_column_text][vc_column_text el_class=”topfeed-summary-list”]

      [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: European Parliament, AI, physicist Stephen Hawking, Yuval Noah Harari, American television adaptation[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

      [/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Why Europe should lead the way on AI and robotics | World Economic Forum[/vc_column_text][/vc_column][/vc_row]

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